Paper Info
Title
From \"Selena Gomez\" to \"Marlon Brando\": Understanding Explorative Entity Search
Abstract
Consider a user who submits a search query \"Shakira\" having a specific search goal in mind (such as her age) but at the same time willing to explore information for other entities related to her, such as comparable singers. In previous work, a system called Spark, was developed to provide such search experience. Given a query submitted to the Yahoo search engine, Spark provides related entity suggestions for the query, exploiting, among else, public knowledge bases from the Semantic Web. We refer to this search scenario as explorative entity search. The effectiveness and efficiency of the approach has been demonstrated in previous work. The way users interact with these related entity suggestions and whether this interaction can be predicted have however not been studied. In this paper, we perform a large-scale analysis into how users interact with the entity results returned by Spark. We characterize the users, queries and sessions that appear to promote an explorative behavior. Based on this analysis, we develop a set of query and user-based features that reflect the click behavior of users and explore their effectiveness in the context of a prediction task.
Year
DOI
Venue
2015
10.1145/2736277.2741284
WWW
Keywords
Field
DocType
explorative search,human information processing,log analysis,related entity,search process,user click behavior,yahoo spark system
Web search query,Data mining,World Wide Web,Search engine,Spark (mathematics),Computer science,Semantic Web
Conference
Citations 
PageRank 
References 
12
0.52
29
Authors
3
Name
Order
Citations
PageRank
Iris Miliaraki123710.40
Roi Blanco287257.42
Mounia Lalmas32593225.26